The University of Pennsylvania’s Department of Computer and Information Science is pleased to welcome applications for teaching positions as a Lecturer or Senior Lecturer. It is a very exciting time to be engaged in computer science education at Penn, as we are developing new curricular programming to embrace artificial intelligence’s increased role in the field. We are also developing multiple new on-campus and online learning programs.
We are seeking dedicated, accomplished, full-time instructors to teach undergraduate electives and Master’s-level courses, particularly in areas such as software engineering, artificial intelligence and data science, theoretical computer science, computer graphics, and cybersecurity, starting in July 2027. We seek individuals who promote and welcome wide-ranging viewpoints and experiences, and who will work closely with students of all backgrounds.
Additionally (see separate job posting), as part of our revamped teaching-track faculty career path, we also have an open Practice Assistant Professor position. This is a great career choice for teaching-focused faculty members who have a track record of published research in engineering education and are interested in developing and publishing on innovative pedagogical techniques. Applicants are encouraged to apply for any/all positions for which they think they may be qualified.
Master’s or PhD in Computer Science or relevant discipline, or equivalent experience.
Application Instructions: To ensure full consideration, applicants are encouraged to apply by November 15th, 2026. However, applications will be accepted until positions are filled. Please submit a cover letter, curriculum vitae, teaching statement, and three confidential letters of recommendation. Other supporting documents are optional. Applications must be submitted online through Interfolio.
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.
